The global impact of data across academia and industry has given rise to multi-disciplinary professionals eager to gain necessary skills to make data-backed decisions. For healthcare and clinical research fields, the need for statistical and computational resources is even greater. No wonder then, that careers in clinical biostatistics and SAS programming are expected to grow by 20%, according to the US Bureau of Labor Statistics.
If you are a doctor born and educated outside the US, and have tried to practice medicine in the US, you know that it is a long and tedious journey. All states have various requirements that need to be satisfied in order to practice medicine, such as studying for and successfully completing the so-called “STEP” exams, as there are three steps to completion. Additionally, there is a certification by the Educational Commission for Foreign Medical Graduates that must be completed. Finally, proficiency in English and participating in a medical residency, which can take years, and a great deal of money, completes the requirements. Not to mention the emotional, financial and social toll these processes can take on you if you cannot clear any step or fail to find a good residency program.
SAS is one of the computer programming languages that is extensively used for statistical analysis. The language originated in the North Carolina State University in United States. It has the ability to read data from all types of databases as well as spreadsheets and to provide output and results based on statistical analysis. Results are displayed in the form of tables, graphs as well as RTF, HTML or as PDF documents.